12th Annual Conference of the International Speech Communication Association

Florence, Italy
August 27-31. 2011

Improved Spoken Query Transcription Using Co-Occurrence Information

Jonathan Mamou (1), Abhinav Sethy (2), Bhuvana Ramabhadran (2), Ron Hoory (1), Paul Vozila (3)

(1) IBM Research - Haifa, Israel
(2) IBM T.J. Watson Research Center, USA
(3) Nuance Communications, USA

Spoken queries are a natural medium for searching the Mobile Web. Language modeling for voice search recognition offers different challenges compared to more conventional speech applications. The challenges arise from the fact that spoken queries are usually a set of keywords and do not have a syntactic and grammatical structure. This paper describes a co-occurrence based approach to improve the accuracy of voice queries automatic transcription. With the right choice of scoring function and co-occurrence level, we show that co-occurrence information gives a 2% relative accuracy improvement over a state of the art system.

Full Paper

Bibliographic reference.  Mamou, Jonathan / Sethy, Abhinav / Ramabhadran, Bhuvana / Hoory, Ron / Vozila, Paul (2011): "Improved spoken query transcription using co-occurrence information", In INTERSPEECH-2011, 1473-1476.